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Channel

Библиотека ИИ для айтишников

@neuro_text

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

6,508subscribers

-87 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002094560190
TypeChannel
Username@neuro_text
Created10 March 2024measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/neuro_text

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

6,5086,5956,551.57 August 2026 — 6,595 subscribers7 August 2026 — 6,595 subscribers10 August 2026 — 6,583 subscribers13 August 2026 — 6,578 subscribers16 August 2026 — 6,575 subscribers19 August 2026 — 6,574 subscribers22 August 2026 — 6,567 subscribers25 August 2026 — 6,556 subscribers28 August 2026 — 6,545 subscribers1 September 2026 — 6,543 subscribers5 September 2026 — 6,533 subscribers10 September 2026 — 6,522 subscribers13 September 2026 — 6,519 subscribers18 September 2026 — 6,508 subscribers7 August 202618 September 2026
14 measurements spanning 42 days, net -87. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,495–6,608 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 08:376,508-11
13 Sept 2026, 22:386,519-3
10 Sept 2026, 12:016,522-11
5 Sept 2026, 03:386,533-10
1 Sept 2026, 04:046,543-2
28 Aug 2026, 17:046,545-11
25 Aug 2026, 12:126,556-11
22 Aug 2026, 22:436,567-7
19 Aug 2026, 08:586,574-1
16 Aug 2026, 19:056,575-3
13 Aug 2026, 03:266,578-5
10 Aug 2026, 13:366,583-12
7 Aug 2026, 14:226,595no change
7 Aug 2026, 12:326,595first reading

Engagement

29 posts held, back to 22 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 29 posts for this entry, the most recent from 20 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
7m 59s
Average length
2m 00s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

229 reactions across 27 posts, in 8 distinct kinds. The most used accounts for 28.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤩6628.8%
🥰4117.9%
👍3716.2%
3414.8%
🔥198.30%
😁187.86%
🥱104.37%
👾41.75%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 27 of the 29 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 229 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 22 July 2026 to 20 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

20 Aug 2026, 12:03 UTC114 viewsread 20 August 2026
Forwarded from @proglib_academyPhoto

🔖 Must-have подборка — если хочется не просто ужасаться историям про сбежавших агентов, а разобраться, почему такое вообще происходит. 🔵 PocketOS и другие случаи, когда агенты действовали совсем не по плану Хороший разбор непредсказуемого поведения агентных систем — с конкретными кейсами. 🔵 Что AI-агенты уже успели сломать в проде Хроника июльских инцидентов: от атаки на Hugging Face до истории с Минфином Таиланд

20 Aug 2026, 12:03 UTC129 viewsread 20 August 2026

😬 После истории с удалённой прод-базой захотелось разобраться, что ещё агенты умудряются вытворять. Собрали несколько хороших разборов: реальные инциденты, safety drift, социальная инженерия и другие случаи, когда агент пошёл немного не туда. Если работаете с AI-агентами — подборка точно пригодится 👇

17 Aug 2026, 12:18 UTC459 views6 reactionsread 20 August 2026
Forwarded from @proglib_academy

Posted without readable text

3🤩3

17 Aug 2026, 12:18 UTC456 views4 reactionsread 20 August 2026

Голосуйте — а на днях разберём похожий кейс, где агент «перевыполнил» задачу так, что пришлось потом извиняться перед незнакомым человеком 🙂

3👍1

14 Aug 2026, 15:05 UTC645 views8 reactionsread 20 August 2026
Photo

🐸 Библиотека ИИ для айтишников #neuro_glitch

😁6🤩2

14 Aug 2026, 14:03 UTC568 views5 reactionsread 20 August 2026
Forwarded from @proglib_academyPhoto

🙂 AI-агентов отправили в настоящий багфикс В CyberGym-E2E собрали 920 реальных уязвимостей из open-source проектов. Задача агента звучит почти как тикет от сурового тимлида: самому найти баг, воспроизвести его, написать фикс — и при этом ничего не сломать рядом. То есть мало выдать правдоподобный патч. Нужно ещё доказать, что уязвимость действительно закрыта, а проект после этого жив. И вот это уже гораздо ближе к

🥰3🤩2

14 Aug 2026, 14:03 UTC566 views5 reactionsread 20 August 2026

Новый уровень проверки AI-кодера: вот тебе уязвимый проект, дальше разбирайся сам 👇

🥰3🤩2

10 Aug 2026, 12:04 UTC858 views10 reactionsread 20 August 2026
Forwarded from @proglib_academyPhoto

😅 Агент, который слишком буквально понял задачу — новый must-have жанр для утренней ленты Разработчик в Австралии попросил AI-агента (на Claude под капотом) записать его на утреннее занятие в спортзале. Мест не было — агент сам поставил хозяина в лист ожидания на 4-е место. Тот спросил: «а нельзя ли подвинуться повыше?» 🔵 Агент не растерялся: нашёл дыру в API зала, которая позволяла отменять чужие брони, и отменил

4🥰2😁2🤩1🥱1

10 Aug 2026, 12:04 UTC763 views3 reactionsread 20 August 2026

⌨️ Как AI-агент случайно взломал систему бронирования спортзала, чтобы продвинуть хозяина в очереди на одно место

🤩3

8 Aug 2026, 14:15 UTC778 views43 reactionsread 20 August 2026

Как часто вы принимаете ответ ИИ без проверки ❓ ❤️ — Почти всегда 👍 — Иногда 🤩 — Только после проверки 🔥 — Никогда 🐸 Библиотека ИИ для айтишников #neuro_challange

👍179🔥9🤩7😁1

8 Aug 2026, 13:15 UTC616 views6 reactionsread 20 August 2026
Forwarded from @proglib_academyPhoto

🤔 У большинства разработчиков уже есть подписки на IDE, GitHub Copilot, Claude, ChatGPT или облачные сервисы. Логично, что обучение тоже постепенно приходит к той же модели: не покупать отдельный курс под каждую новую тему, а иметь доступ ко всей библиотеке и выбирать, что актуально именно сейчас. Такой формат недавно появился и в Proglib Academy. Вместо одного курса — доступ сразу ко всей библиотеке и новым матери

🤩4🥰2

8 Aug 2026, 13:15 UTC661 views4 reactionsread 20 August 2026

Кажется, у онлайн-обучения появился формат, которого давно не хватало 👇

🤩2🥰2

Showing the 12 most recent of 29 posts we hold for @neuro_text. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

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Telegram ranks this channel #20 of 84 here — alongside 83 others — read 1 September 2026
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Telegram ranks this channel #24 of 59 here — alongside 58 others — read 14 September 2026
Библиотека программиста
@proglibrary · 78,334
Telegram ranks this channel #26 of 82 here — alongside 81 others — read 19 August 2026
Цена успеха
@Cena_uspeha · 57,523
Telegram ranks this channel #31 of 50 here — alongside 49 others — read 23 August 2026
Библиотека Go-разработчика | Golang
@goproglib · 24,071
Telegram ranks this channel #56 of 91 here — alongside 90 others — read 17 September 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Библиотека ИИ для айтишников” (@neuro_text), 6,508 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/neuro_text.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.